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Computational Intelligence for Genomics Data

  • 1st Edition - January 22, 2025
  • Editors: Babita Pandey, Valentina Emilia Balas, Suman Lata Tripathi, Devendra Kumar Pandey, Mufti Mahmud
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 4 4 3 - 3 0 0 8 0 - 6
  • eBook ISBN:
    9 7 8 - 0 - 4 4 3 - 3 0 0 8 1 - 3

Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the develo… Read more

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Elsevier academics book covers
Computational Intelligence for Genomics Data presents an overview of machine learning and deep learning techniques being developed for the analysis of genomic data and the development of disease prediction models. The book focuses on machine and deep learning techniques applied to dimensionality reduction, feature extraction, and expressive gene selection. It includes designs, algorithms, and simulations on MATLAB and Python for larger prediction models and explores the possibilities of software and hardware-based applications and devices for genomic disease prediction. With the inclusion of important case studies and examples, this book will be a helpful resource for researchers, graduate students, and professional engineers.

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